A nomogram to predict congestive heart failure in patients with acute kidney injury: a retrospective study based on the MIMIC-III database
- Published on 03/10/2025
- Reading time: 4 min.
Gu Quankuan 1,2, Qi Yucheng 1,2, Xiong Yaxin 1,2, Ma Xinyue 1,2, Lyu Jun 3, Yang Wei 1,2, Meng Xianglin 1,2, Zhao Mingyan 1,2
1 https://ror.org/05vy2sc54 Department of Critical Care Medicine the First Affiliated Hospital of Harbin Medical University, Harbin Medical University 150001 Harbin Heilongjiang Province China
2 Heilongjiang Provincial Key Laboratory of Critical Care Medicine No. 2075, Qunli Seventh Avenue, Daoli District 150001 Harbin Heilongjiang Province China
3 https://ror.org/05d5vvz89 Department of Clinical Research The First Affiliated Hospital of Jinan University 510630 Guangzhou China
Abstract
Object Objective: Acute Kidney Injury (AKI) is a renal disease marked by diminished urine output and elevated serum creatinine levels. AKI has a global incidence rate of about 20%, with an average mortality rate of 23%. Cardiovascular disease emerges as one of the primary causes of death associated with AKI. We developed a nomogram to estimate the probability of patients with AKI developing congestive heart failure.
Method We conducted a retrospective study...
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